TY - JOUR
T1 - Academic self-efficacy, self-esteem, satisfaction with studies, and virtual media use as depression and emotional exhaustion predictors among college students during COVID-19
AU - Carranza Esteban, Renzo Felipe
AU - Mamani-Benito, Oscar
AU - Morales-García, Wilter C.
AU - Caycho-Rodríguez, Tomás
AU - Ruiz Mamani, Percy G.
N1 - Publisher Copyright:
© 2022
PY - 2022/11
Y1 - 2022/11
N2 - The aim of the study was to explore the relationship between depression, emotional exhaustion, self-esteem, satisfaction with studies, academic self-efficacy, and the use of virtual media in Peruvian university students during the coronavirus disease 2019 (COVID-19) pandemic. A total of 569 college students (61.9% female), with a mean age of 21.73 years (standard deviation = 4.95), responded to the following questionnaires: Academic Self-Efficacy Scale, Single Item Self-Esteem Scale, Brief Scale of Satisfaction with Studies, Scale of Use of Virtual Media, Patient Health Questionnarie-2, and Single Item of Academic Emotional Exhaustion. Correlation statistics, regression models, and structural equation modeling (SEM) were used for data analysis. The results demonstrated a direct and significant correlation between virtual media use, academic self-efficacy, self-esteem, depression, and emotional exhaustion (p < .01). In addition, satisfaction with studies (β = −0.13), academic self-efficacy (β = −0.19), self-esteem (β = −0.14), and emotional exhaustion (β = 0.19) predicted depression significantly, whereas virtual media use (β = 0.17), study satisfaction (β = 0.09), and depression (β = 0.20) predicted emotional exhaustion associated with academics. The SEM model indicated that self-esteem, satisfaction with studies, and academic self-efficacy negatively predict depression, whereas academic self-efficacy positively predicts virtual media use. Finally, both virtual media use and depression positively predict emotional exhaustion. This model presents optimal goodness-of-fit indices (X2 = 8.926, df = 6, p = .178; comparative fit = .991, Tucker–Lewis = .979, root mean square error of approximation = .029 [confidence interval 90% = .000–.067], standardized root mean square residual = .022). Thus, academic self-efficacy, self-esteem, satisfaction with studies, and virtual media use predict depression and emotional exhaustion among college students during the COVID-19 pandemic.
AB - The aim of the study was to explore the relationship between depression, emotional exhaustion, self-esteem, satisfaction with studies, academic self-efficacy, and the use of virtual media in Peruvian university students during the coronavirus disease 2019 (COVID-19) pandemic. A total of 569 college students (61.9% female), with a mean age of 21.73 years (standard deviation = 4.95), responded to the following questionnaires: Academic Self-Efficacy Scale, Single Item Self-Esteem Scale, Brief Scale of Satisfaction with Studies, Scale of Use of Virtual Media, Patient Health Questionnarie-2, and Single Item of Academic Emotional Exhaustion. Correlation statistics, regression models, and structural equation modeling (SEM) were used for data analysis. The results demonstrated a direct and significant correlation between virtual media use, academic self-efficacy, self-esteem, depression, and emotional exhaustion (p < .01). In addition, satisfaction with studies (β = −0.13), academic self-efficacy (β = −0.19), self-esteem (β = −0.14), and emotional exhaustion (β = 0.19) predicted depression significantly, whereas virtual media use (β = 0.17), study satisfaction (β = 0.09), and depression (β = 0.20) predicted emotional exhaustion associated with academics. The SEM model indicated that self-esteem, satisfaction with studies, and academic self-efficacy negatively predict depression, whereas academic self-efficacy positively predicts virtual media use. Finally, both virtual media use and depression positively predict emotional exhaustion. This model presents optimal goodness-of-fit indices (X2 = 8.926, df = 6, p = .178; comparative fit = .991, Tucker–Lewis = .979, root mean square error of approximation = .029 [confidence interval 90% = .000–.067], standardized root mean square residual = .022). Thus, academic self-efficacy, self-esteem, satisfaction with studies, and virtual media use predict depression and emotional exhaustion among college students during the COVID-19 pandemic.
KW - Academic self-efficacy
KW - COVID-19
KW - College students
KW - Depression
KW - Emotional exhaustion
KW - Self-esteem
UR - http://www.scopus.com/inward/record.url?scp=85141688881&partnerID=8YFLogxK
U2 - 10.1016/j.heliyon.2022.e11085
DO - 10.1016/j.heliyon.2022.e11085
M3 - Article
AN - SCOPUS:85141688881
SN - 2405-8440
VL - 8
JO - Heliyon
JF - Heliyon
IS - 11
M1 - e11085
ER -